Assembly support systems with Markov predictors

In this paper, we analyse Markov prediction as a suitable model to suggest the next assembly step in the manufacturing process. The goal is a decision support system which can assist the workers in a factory, at least in their training period, to manually assemble a product. We evaluate the proposed...

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Bibliographic Details
Published in:Journal of decision systems 2020-08, Vol.29 (sup1), p.63-70
Main Authors: Gellert, Arpad, Zamfirescu, Constantin-Bala
Format: Article
Language:English
Subjects:
Assembling
Assembly
assembly assistance systems
Context
context-based prediction
Decision support systems
Markov predictors
smart factories
training station
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Summary:In this paper, we analyse Markov prediction as a suitable model to suggest the next assembly step in the manufacturing process. The goal is a decision support system which can assist the workers in a factory, at least in their training period, to manually assemble a product. We evaluate the proposed context-based predictor on a dataset collected through an experiment involving 68 trainees and compare it with our previously implemented two-level context-based predictors. The experiment consisted of assembling a tablet composed of seven components. We were interested in finding the most efficient prediction method that can be soundly employed in real-life settings.
ISSN:1246-0125
2116-7052
DOI:10.1080/12460125.2020.1788798